Review of the main developments in the analytic hierarchy process
In this paper the authors review the developments of the analytic hierarchy process (AHP)
since its inception. The focus of this paper is a neutral review on the methodological …
since its inception. The focus of this paper is a neutral review on the methodological …
Analytic hierarchy process and expert choice: Benefits and limitations
This article describes the original Analytic Hierarchy Process (AHP) as it is implemented in
the software package Expert Choice. We demonstrate its application through a practical …
the software package Expert Choice. We demonstrate its application through a practical …
Best-worst multi-criteria decision-making method
J Rezaei - Omega, 2015 - Elsevier
In this paper, a new method, called best-worst method (BWM) is proposed to solve multi-
criteria decision-making (MCDM) problems. In an MCDM problem, a number of alternatives …
criteria decision-making (MCDM) problems. In an MCDM problem, a number of alternatives …
Score function based on concentration degree for probabilistic linguistic term sets: an application to TOPSIS and VIKOR
Probabilistic linguistic term sets (PLTSs) can express the qualitative information of decision
makers more accurately in the complicated linguistic setting. However, the existing …
makers more accurately in the complicated linguistic setting. However, the existing …
Attitude-and cost-driven consistency optimization model for decision-making with probabilistic linguistic preference relation
Probabilistic linguistic term set (PLTS) conveys the preference for a linguistic term by
assigning a probability distribution, which can more correctly and flexibly reflect the decision …
assigning a probability distribution, which can more correctly and flexibly reflect the decision …
Aggregation of the nearest consistency matrices with the acceptable consensus in AHP-GDM
Analytic hierarchy process (AHP) is widely used in group decision making (GDM). There are
two traditional aggregation methods for the collective preference in AHP-GDM: aggregation …
two traditional aggregation methods for the collective preference in AHP-GDM: aggregation …
Fuzzy Analytic Hierarchy Process: A performance analysis of various algorithms
Abstract Analytical Hierarchical Process (AHP) along with fuzzy set theory has been used
extensively in the Multi-Criteria Decision Making (MCDM) process in which fuzzy numbers …
extensively in the Multi-Criteria Decision Making (MCDM) process in which fuzzy numbers …
[HTML][HTML] Estimating priorities from relative deviations in pairwise comparison matrices
The problem of deriving the priority vector from a pairwise comparison matrix is at the heart
of multiple-criteria decision-making problems. Existing prioritization methods mostly model …
of multiple-criteria decision-making problems. Existing prioritization methods mostly model …
[HTML][HTML] A cosine maximization method for the priority vector derivation in AHP
G Kou, C Lin - European Journal of Operational Research, 2014 - Elsevier
The derivation of a priority vector from a pair-wise comparison matrix (PCM) is an important
issue in the Analytic Hierarchy Process (AHP). The existing methods for the priority vector …
issue in the Analytic Hierarchy Process (AHP). The existing methods for the priority vector …
[HTML][HTML] Performance analysis of fuzzy analytic hierarchy process multi-criteria decision support models for contractor selection
Abstract Multi-Criteria Decision Making (MCDM) is a discipline aimed at supporting decision-
makers to settle on an ideal choice within the sight of different and clashing criteria. MCDM …
makers to settle on an ideal choice within the sight of different and clashing criteria. MCDM …